背景:高血压,睡眠障碍,抑郁症代表着显著的公共卫生问题,它们的相互联系的性质早已得到承认。这项研究的目的是探讨高血压背景下睡眠障碍与抑郁症之间的相互作用。
方法:这项横断面研究在2005年至2018年的七个调查周期中,从NHANES数据库中纳入了42,143名18岁及以上的参与者。在排除了那些缺乏抑郁症数据的人之后,睡眠障碍,和高血压,以及不完整的主要变量,还有33383名与会者。我们使用加权逻辑回归来检验睡眠障碍之间的关系,抑郁症,和高血压。此外,我们使用乘法和加法两种方法评估睡眠障碍和抑郁对高血压的相互作用,以量化它们的联合作用.
结果:与没有睡眠障碍的个体相比,睡眠障碍患者患高血压的风险增加(OR=1.51,95%CI:1.37-1.67).此外,抑郁症患者患高血压的风险明显高于睡眠障碍患者(OR=2.34,95%CI:1.95~2.80).我们的研究揭示了睡眠障碍和抑郁症与高血压风险之间的正相互作用(OR=1.07,95%CI:1.02-1.13)。此外,我们观察了影响高血压风险的定量加性交互作用指标(RERI=0.73,95%CI:0.56~0.92;API=0.31,95%CI:0.11~0.46;SI=2.19,95%CI:1.08~3.46)。此外,我们的研究还发现,睡眠时间少于7小时的人,睡眠潜伏期在5到30分钟之间,或超过30分钟的潜伏期经历高血压的风险显着增加。
结论:我们的研究揭示了睡眠障碍之间的不同联系,抑郁症,和高血压患病率。此外,我们确定了高血压患病率中抑郁和睡眠障碍之间的相互作用.增强心理健康和解决睡眠障碍可以帮助预防和管理高血压。然而,需要更多的调查来建立因果关系和澄清机制。
BACKGROUND: Hypertension, sleep disorders, and depression represent notable public health issues, and their interconnected nature has long been acknowledged. The objective of this study is to explore the interplay between sleep disorders and depression in the context of hypertension.
METHODS: This cross-sectional study involved 42,143 participants aged 18 and above from the NHANES database across seven survey cycles between 2005 and 2018. After excluding those with missing data on depression, sleep disorders, and hypertension, as well as incomplete main variables, 33,383 participants remained. We used weighted logistic regression to examine the relationship between sleep disorders, depression, and hypertension. Additionally, we assessed the
interaction between sleep disorders and depression on hypertension using both multiplicative and additive approaches to quantify their combined effect.
RESULTS: Compared to individuals without sleep disorders, those with sleep disorders have an increased risk of hypertension (OR = 1.51, 95% CI: 1.37-1.67). Furthermore, individuals with depression experience a significantly higher risk of hypertension compared to those with sleep disorders alone (OR = 2.34, 95% CI: 1.95-2.80). Our study reveals a positive
interaction between sleep disorders and depression in relation to hypertension risk (OR = 1.07, 95% CI: 1.02-1.13). In addition, we observed the quantitative additive
interaction indicators (RERI = 0.73, 95% CI: 0.56 ~ 0.92; API = 0.31, 95% CI: 0.11 ~ 0.46; SI = 2.19, 95% CI: 1.08-3.46) influencing hypertension risk. Furthermore, our research also identified that individuals with less than 7 h of sleep, a sleep latency period between 5 and 30 min, or a latency period exceeding 30 min experience a significantly increased risk of hypertension.
CONCLUSIONS: Our research uncovered separate links between sleep disorders, depression, and hypertension prevalence. Moreover, we identified an
interaction between depression and sleep disorders in hypertension prevalence. Enhancing mental well-being and tackling sleep disorders could help prevent and manage hypertension. Yet, more investigation is required to establish causation and clarify mechanisms.